19c96fd5174bda1ab185d47 20210401204541711 iocm farid.sartipi@iconsmat.com.au WEB-FORM Journal of Construction Materials JCM 26523752 10.36756/JCM https://iconsmat.com.au/publication/ 04 04 2021 2 3 10.36756/JCM.v2.3 https://iconsmat.com.au/v-2-3/ 1ALTRAN Ouest, 3 Rue Louis Braille, 35136 Saint-Jacques-de-la-Lande, France Mazyar Yosofi Sonia Ezeddini 1ALTRAN Ouest, 3 Rue Louis Braille, 35136 Saint-Jacques-de-la-Lande, France Anaïs Ollivier ALTRAN Ouest, 1 impasse Charles Trenet, 44800 Saint-Herblain, France Valérie Lavaste ALTRAN Research & Innovation Direction, 2 rue Paul Dautier, 78140 Vélizy-Villacoublay, France Céline Mayousse ALTRAN Ouest, 1 impasse Charles Trenet, 44800 Saint-Herblain, France Additive manufacturing processes have changed significantly in a wide range of industries and their application progressed from rapid prototyping to production of end-use products. However, their environmental impact is still a rather open question. In order to support the growth of this technology in the industrial sector, environmental aspects should be considered and predictive models may help monitor and reduce the environmental footprint of the processes. This work presents predictive models based on a previously developed methodology for the environmental impact evaluation combined with a technical and economical assessment. Here we applied the methodology to the Fused Deposition Modelling process. First, we present the predictive models relative to different types of machines. Then, we present a decision-making tool designed to identify the optimum manufacturing strategy regarding technical, economic, and environmental criteria. 04 04 2021 10.36756/JCM.v2.3.7 https://iconsmat.com.au/wp-content/uploads/2021/04/v2.3.7.pdf